Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) Growth (3y) (2012 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) Growth (3y) (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.98% |
| Mar 31, 2026 | 23.85% |
| Dec 31, 2025 | 27.27% |
| Sep 30, 2025 | -16.79% |
| Jun 30, 2025 | 29.58% |
| Mar 31, 2025 | -38.49% |
| Dec 31, 2024 | -46.80% |
| Sep 30, 2024 | -32.09% |
| Jun 30, 2024 | -22.26% |
| Mar 31, 2024 | -38.66% |
| Dec 31, 2023 | 5.63% |
| Sep 30, 2023 | -36.96% |
| Jun 30, 2023 | 72.26% |
| Mar 31, 2023 | -49.96% |
| Dec 31, 2022 | -105.81% |
| Sep 30, 2022 | -22.17% |
| Jun 30, 2022 | -99.03% |
| Mar 31, 2022 | -9.38% |
| Dec 31, 2021 | 24.63% |
| Sep 30, 2021 | 32.82% |
API Access
Whirlpool Corp /De/ EPS (Diluted) Growth (3y) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted-growth-3y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted-growth-3y", "ticker": "WHR-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted-growth-3y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();